Rapid spectrum usage in wireless networks may reduce energy efficiency, necessitating cognitive radio networks that are more energy-efficient than conventional ones. A decrease in the available spectrum's bandwidth led to the development of cognitive radio networks, which are now widely used for data transmission. In order to boost sensing efficacy and system throughput, current research ignores energy economy and handoff delay in favor of handoff decision and cooperative spectrum sensing. The energy consumption of the sensing process may be made more efficient. A threshold approach based on primary user traffic patterns is offered for spectrum mobility control. Using a threshold method, the values for probabilistic stay-and-wait and QoS handoff are calculated. In addition, a method for selecting the channel with the maximum throughput and least amount of energy consumption is developed and shown. The recommended technique reduces false alarms and miss detection while maintaining handoff delay and enhancing throughput and energy efficiency. This approach enhances the throughput, energy economy, sensor performance, and handoff time. miss-detection.